Predicting Employees Performance using Data Mining Techniques

Authors

  • Samruddhi Gavas
  • Darshan Oswal
  • Ronish Rathod
  • Madhu Nashipudimath

Keywords:

Neural network, logistic regression, SVM, classification, data mining, employees performance rating, data splitting

Abstract

Human resources management (HRM) has become one of the essential interests of managers and 4decision-makers in almost all types of businesses to adopt plans for correctly discovering highly qualified employees. In this research, data mining techniques were utilized to build a classification model for predicting the performance of employees using a real dataset. For this, we are using different methods such as support vector machine, Logistic Regression and Neural Network. This System rates the performance of employees and gives a predictive analysis of data mining techniques. Our main objective is how the training/test split ratio affects the estimation of the generalization performance and to find the best algorithm for predicting employee performance.

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Published

2021-06-24

Issue

Vol. 8 No. 1 (2021)

Section

Research Articles

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